제어로봇시스템학회:학술대회논문집
- 제어로봇시스템학회 1997년도 한국자동제어학술회의논문집; 한국전력공사 서울연수원; 17-18 Oct. 1997
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- Pages.1758-1761
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- 1997
Robust investment model for long range capacity expansion of chemical processing networks using two-stage algorithm
- Bok, Jinkwang (Department of Chemical Engineering, KAIST) ;
- Lee, Heeman (Samsung SDS Co., Ltd.) ;
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Park, Sunwon
(Department of Chemical Engineering, KAIST)
- 발행 : 1997.10.01
초록
The problem of long range capacity expansion planing for chemical processing network under uncertain demand forecast secnarios is addressed. This optimization problem involves capactiy expansion timing and sizing of each chemical processing unit to maximize the expected net present value considering the deviation of net present values and the excess capacity over a given time horizon. A multiperiod mixed integer nonlinear programming optimization model that is both solution and modle robust for any realization of demand scenarios is developed using the two-stage stochastic programming algorithm. Two example problems are considered to illustrate the effectiveness of the model.